Sample size calculator.

Need to find the right sample size for your study? Our Sample Size Calculator delivers quick, accurate results.

What is a Sample Size Calculator?

A Sample Size Calculator helps you determine the number of people you need to survey for reliable results. By entering key details like population size, confidence level, and margin of error, you can calculate the ideal sample size for accurate research findings. For example, If you’re surveying 10,000 customers and want 95% confidence with a 5% margin of error, the calculator will tell you how many responses you need to ensure trustworthy insights.

Please enter a number greater than or equal to 0.
Please enter a number from 0 to 100.

What Does the Result Mean?

The sample size calculation tells you how many people you must survey to get reliable results. If the calculator suggests 400 respondents, that means surveying at least 400 people will give you statistically reliable results within your chosen margin of error. A larger sample size increases accuracy, while a smaller one may produce less precise results. Use this number to plan your survey with confidence!

Tips:
Want more precision? Lower the margin of error, but this will increase the required sample size.
Not sure how many people to survey? Try different confidence levels and margin of error settings to see how they affect sample size.

Now that you have your sample size, what’s next?
Need to check how precise your results are? Use our Margin of Error Calculator to measure the accuracy of your survey.

How to Use the Sample Size Calculator

  1. Step 1: Enter your Population Size – This is not the total population of a country or city. It’s the specific group you want to study (e.g. school students between the ages of 10 to 16 in the U.S.). If you’re surveying customers of a particular store, the population size is the total number of customers who shop there, not the entire city.

  2. Step 2: Choose your Confidence Level – Select how sure you want to be about your results (90%, 95%, or 99%). A higher confidence means greater certainty but requires more responses to reduce errors. For example, a 95% confidence level is the standard for most surveys, but if you choose 99%, you’ll need a larger sample size for higher accuracy.

  3. Step 3:  Select your Margin of Error – The range within which the true result may vary. Choose how much your results might vary from the true answer.
    ✔ Smaller margin (±3%) → More accurate results but requires more responses.
    ✔ Larger margin (±5% or more) → Less precise but needs fewer responses.
    For example, If 60% of people like a product and your margin of error is ±3%, the real number could be between 57% and 63%. A ±5% margin means it could be between 55% and 65%.

  4. Step 4: View Your Sample Size – The tool will tell you how many responses you need for reliable data.

  5. Step 5: Plan your survey: Use this number to ensure your research is accurate and meaningful before launching your survey.

Why Does Sample Size Matter?

Getting the right sample size is key to accurate and reliable results. Here’s why it’s important:

Accuracy – Reduces errors and makes your survey results more reliable.
 ✔ Efficiency – Saves time and resources by collecting just the right amount of data.
 ✔ Trustworthy Insights – Ensures your findings reflect the whole population, not just random chance.

Want to ensure your qualitative research captures the right insights?

Explore how different approaches impact your study and discover best practices for gathering meaningful data in our expert guide on sampling methods.

Who Can Use This Calculator?

Market Research and Businesses – Find the right number of customers to survey for product feedback and market trends.
Academic & Social Research – Ensure studies accurately represent populations for research and policy analysis.
Healthcare & Clinical Trials – Determine how many patients are needed for valid medical research.
Employee & Workplace Surveys – Gather reliable employee insights for engagement and policy decisions.
Government & Public Policy – Calculate voter research and census study respondents.
Media & Advertising – Measure audience opinions and ad effectiveness with accurate sample sizes.

Now that you have your sample size get expert insights to maximize your survey’s design.
We provide in-depth insights to drive better decisions as a leading market research agency.

Contact us today to discuss your research needs!

Sample size calculator.

Need to find the right sample size for your study? Our Sample Size Calculator delivers quick, accurate results.

What is a Margin of Error Calculator?

A Margin of Error Calculator helps you understand how much your survey results might change if you surveyed more people. It shows the possible difference between the results you got and what the true answer might be for the whole population.
Example: If 60% of people say they like a product with a ±5% margin of error, the actual percentage could be anywhere between 55% and 65%. A smaller margin of error means more precise results, but it usually requires a larger sample size.
This tool helps businesses, researchers, and marketers measure the reliability of their data before making important decisions.

Please enter a number greater than or equal to 0.
Please enter a number greater than or equal to 0.

What Does the Result Mean?

The margin of error tells you how much your survey results might change if you surveyed more people.

✔ Smaller margin of error (e.g., ±3%) → More accuracy, but requires more responses.
✔ Larger margin of error (e.g., ±5% or more) → Less precision but needs fewer responses.

Need to determine how many responses you need? Use our Sample Size Calculator to find out.

How to Use the Margin of Error Calculator

  1. Step 1: Enter your Sample Size—The number of people who completed your survey. More responses = better accuracy. For example, if 250 people answered your survey, enter 250 as your sample size.
  2. Step 2: Enter your Population Size – This is not the population of a place. It is the total number of people in the group you want to study. If unsure, use an estimate. For example, if you’re surveying employees at a company with 5,000 staff members, your population size is 5,000.
  3. Step 3: Pick your Confidence Level – How sure do you want to be about your results? Common choices are 90%, 95%, or 99%. A higher confidence level means more accuracy but requires more responses. For example, a 95% confidence level means that if you repeated the survey 100 times, you’d get similar results 95 times.
  4. Step 4: View your Margin of Error—The tool will show your Margin of Error, the possible range by which your results may vary. For example, if 60% of people in your survey like a product and your margin of error is ±4%, the actual percentage could be anywhere between 56% and 64% in the full population.

Why Is It Important to Calculate the Margin of Error?

✔ Ensures Accuracy – Helps you understand how close your survey results are to the true population data.
 ✔ Builds Confidence – A lower margin of error means you can trust your findings when making important decisions.
 ✔ Guides Sample Size – Shows whether you need more responses to improve precision.
 ✔ Detects Meaningful Differences – Helps determine whether small survey result changes are real or just random variations.
 ✔ Essential for Business and Research – Used in market research, healthcare studies, polling, and decision-making to ensure reliable insights.

Want to create better surveys? Learn how to ask the right questions and get reliable answers in our market research survey guide.

Who Can Use This Calculator?

✔ Market Research and Businesses – Check customer surveys’ reliability before making decisions.
 ✔ Academic and Social Research – Ensure studies accurately represent populations for research and policy analysis.
 ✔ Healthcare and Clinical Trials –
Determine how many patients are needed for valid medical research.
 ✔ Employee and Workplace Surveys – Gather reliable employee insights for engagement and policy decisions.
 ✔ Government and Public Policy – Calculate how many people are needed for voter research and census studies.
 ✔ Media and Advertising – Measure public opinion and ad effectiveness with accurate sample sizes.

Now that you know your margin of error, get expert insights to maximize your research!

Need help designing your survey or analyzing results? As a leading market research agency, we provide in-depth insights to drive better decisions.
Contact us today to discuss your research needs!